LT3: sentiment analysis of figurative tweets: piece of cake #NotReally

This paper describes our contribution to the SemEval-2015 Task 11 on sentiment analysis of figurative language in Twitter. We considered two approaches, classification and regression, to provide fine-grained sentiment scores for a set of tweets that are rich in sarcasm, irony and metaphor. To this end, we combined a variety of standard lexical and syntactic features with specific features for capturing figurative content. All experiments were done using supervised learning with LIBSVM. For both runs, our system ranked fourth among fifteen submissions

Киченко Александр

SUMMARY: This paper offers a brief biographical sketch of Jeremias De Drijvere or Thriverius (1504-1554) who became professor at the medical faculty of Leuven University. In particular, the author analyses two of De Drijvere's most important writings, De Missione sanguinis in pleuritide (1532) and his inaugural lecture of 1544

The policy iteration method for the optimal stopping of a Markov chain and applications to a free boundary problem for random walks

In this paper we study the problem of the optimal stopping of a Markov chain with a countable state space. In each state i the controller receives a reward r(i) if he stops the process and he must pay the cost c(i) otherwise. We show that under some conditions, the policy iteration method, introduced by Howard, gives the optimal stopping rule in a finite number of iterations. For random walks with a special reward and cost structure the policy iteration method gives the solution of a free boundary problem. Using this property we shall derive a simple algorithm for the determination of the optimal stopping time of such random walks